J/MNRAS/420/926ivo://CDS.VizieR/J/MNRAS/420/926doi:10.26093/cds/vizier.74200926CDSFasano G.Vanzella E.Dressler A.Poggianti B.M.Moles M.,Bettoni D.Valentinuzzi T.Moretti A.D'Onofrio M.Varela J.,Couch W.J.Kjaergaard P.Fritz J.Omizzolo A.Cava A.2024-07-16T20:12:42Z2012-01-31T10:08:26ZCDS support team

CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France

cds-question@unistra.frgalaxy-clustersgalaxiescatalogsgalaxy-classification-systemsWe present the morphological catalog of galaxies in nearby clusters of the WINGS survey (Fasano et al., 2006A&A...445..805F). The catalog contains a total number of 39923 galaxies, for which we provide the automatic estimates of the morphological type applying the purposely devised tool MORPHOT to the V-band WINGS imaging. For ~3000 galaxies we also provide visual estimates of the morphological types. A substantial part of the paper is devoted to the description of the MORPHOT tool, whose application is limited, at least for the moment, to the WINGS imaging only. The approach of the tool to the automation of morphological classification is a non parametric and fully empirical one. In particular, MORPHOT exploits 21 morphological diagnostics, directly and easily computable from the galaxy image, to provide two independent classifications: one based on a Maximum Likelihood (ML), semi-analytical technique, the other one on a Neural Network (NN) machine. A suitably selected sample of ~1000 visually classified WINGS galaxies is used to calibrate the diagnostics for the ML estimator and as a training set in the NN machine. The final morphological estimator combines the two techniques and proves to be effective both when applied to an additional test sample of ~1000 visually classified WINGS galaxies and when compared with small samples of SDSS galaxies visually classified by Fukugita et al. (2007, Cat. J/AJ/134/579) and Nair et al. (2010, Cat. J/ApJS/186/427). Finally, besides the galaxy morphology distribution (corrected for field contamination) in the WINGS clusters, we present the ellipticity, color (B-V) and Sersic index (n) distributions for different morphological types, as well as the morphological fractions as a function of the clustercentric distance (in units of R200).2012MNRAS.420..926Fhttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/420/926CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toJ/A+A/470/39 : Substructures in WINGS clusters (Ramella+, 2007)J/A+A/495/707 : WINGS spectroscopy of 48 galaxy clusters (Cava+, 2009)J/A+A/497/667 : WINGS: Deep optical phot. of 77 nearby clusters (Varela+, 2009J/A+A/501/851 : WINGS JK photometry of 28 galaxy clusters (Valentinuzzi+, 2009J/A+A/526/A45 : WINGS-SPE II catalog (Fritz+, 2011)https://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/420/926https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/MNRAS/420/926http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/MNRAS/420/926https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/MNRAS/420/926https://vizier.iucaa.in/viz-bin/votable?-source=J/MNRAS/420/926http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/MNRAS/420/926GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/MNRAS/420/926/morphot (Morphological types for 39923 galaxies in 76 WINGS clusters (0.04<z<0.07))https://vizier.cds.unistra.fr/viz-bin/conesearch/J/MNRAS/420/926/morphot?https://vizier.iucaa.in/viz-bin/conesearch/J/MNRAS/420/926/morphot?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/MNRAS/420/926/morphot?GETtext/xml+votable180.050000true159.6406667-8.93980560.0055555555555555565/1326 2162 4123 4178 4504 5120 6159 6/661-663 1003-1004 1006 2184 2186 5030-5031 5036 5368 5370 6002 6008 6221 6223 6234 7010-7011 8265 8268 8440 8442 8446 8785 8788 9754 9765 9776 9941 9943 9983 10114 10152 10154 10306-10307 10309 10311-10313 10322 12115 12118 12121 12123 15085 15096 16399 16408 16410 16421 16423 16432 16434 16765-16767 17237 17239 17920 18009 18011 18035 18038 18041 18044 18238 18321 18324 18411 18414 18605 18607 18618 18622-18623 18862 18937 18939 19130 19201 19204 19501 19503 19608-19609 19777 19780 19933 19935 19993 19996 19999 20020-20021 20029 20031 20072 20074 20082-20083 20361 20706 20712 24619 24622 24943 24954 25042-25043 25048 26732 26734 26768 26770-26771 27213 27218 27224 28004-28005 32746 33234-33235 33605 33616 33625 33628 33649-33651 34783 34805 39055 39077 40776-40777 40779 40809 43827-43828 43830 43835-43836 43838 43921 43939 43942 43945 43947-43948 43950 43977 45962 45975 45981 45984 46018 46024 46652-46654 46910-46911 46996-46997 48583 48594 48600https://cdsarc.cds.unistra.fr/viz-bin/moc/J/MNRAS/420/926?format=asciiOpticaldefaultJ/MNRAS/420/926/morphotMorphological types for 39923 galaxies in 76 WINGS clusters (0.04<z<0.07)recnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintWINGSObject identification, JHHMMSS.ss+DDMMSS.smeta.id;meta.maincharClusterCluster namemeta.id.parentcharMTypeFinal morphological type (1)src.morph.typefloatMT.ML? Maximum Likelihood morphological type (1)stat.likelihood;src.morph.typefloatnullableb_MT.ML? Lower confidence limit for MTypeML (1)stat.fit.paramfloatnullableB_MT.ML? Upper confidence limit for MTypeML (1)stat.fit.paramfloatnullableMT.NN? Neural Network morphological type (1)src.morph.typefloatnullableb_MT.NN? Lower confidence limit for MTypeNN (1)stat.fit.paramfloatnullableB_MT.NN? Upper confidence limit for MTypeNN (1)stat.fit.paramfloatnullableMT.M? MORPHOT morphological type (2)src.morph.typefloatnullableb_MT.M? Lower confidence limit for MTypeM (2)stat.fit.paramfloatnullableB_MT.M? Upper confidence limit for MTypeM (2)stat.fit.paramfloatnullableMT.vis? Visual morphological type (1)src.morph.typefloatnullable_RAName from WINGS name (right ascension part)degpos.eq.ra;meta.mainindexed_DEName from WINGS name (declination part)degpos.eq.dec;meta.mainindexed